Model-driven orchestration for cloud resources

Hayet Brabra; Achraf Mtibaa; Walid Gaaloul; Boualem Benatallah; Faiez Gargouri

doi:10.1109/CLOUD.2019.00074

Model-driven orchestration for cloud resources

Hayet Brabra
, Achraf Mtibaa
, Walid Gaaloul
, Boualem Benatallah
, Faiez Gargouri

Université Paris-Saclay
Sfax University
Sfax University
University of New South Wales

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

13 Citations (Scopus)

Résumé

Several DevOps tools have emerged to orchestrate cloud resources. However, inherent heterogeneity and complex implementation within these tools make it hard for DevOps users to design required resource-related artifacts. Currently, the defacto standard for cloud resource modeling and orchestration is TOSCA. Nonetheless, TOSCA is usually bound to TOSCA-compliant orchestration tools. Moreover, the actual integration between TOSCA and DevOps tools is still performed using costly coding and in ad-hoc manner. To resolve this, we believe that mapping and translation mechanisms between TOSCA and DevOps tools should be provided. In this paper, we propose a new model-driven approach for cloud resource orchestration. Our approach (i) adopts TOSCA to design resource-related artifacts regardless of a specific DevOps tool; (ii) enables a new model-driven translation technique that serves to translate the designed artifacts using TOSCA into DevOps specific artifacts and (iii) provides Connectors that intend to establish the bridge between DevOps-specific artifacts and the DevOps tools. Our approach provides a powerful enhancement to DevOps productivity and reusability by assisting toward a seamless integration between TOSCA and DevOps tools.

langue originale	Anglais
titre	Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
rédacteurs en chef	Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
Editeur	IEEE Computer Society
Pages	422-429
Nombre de pages	8
ISBN (Electronique)	9781728127057
Les DOIs	https://doi.org/10.1109/CLOUD.2019.00074
état	Publié - 1 juil. 2019
Modification externe	Oui
Evénement	12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italie Durée: 8 juil. 2019 → 13 juil. 2019

Série de publications

Nom	IEEE International Conference on Cloud Computing, CLOUD
Volume	2019-July
ISSN (imprimé)	2159-6182
ISSN (Electronique)	2159-6190

Une conférence

Une conférence	12th IEEE International Conference on Cloud Computing, CLOUD 2019
Pays/Territoire	Italie
La ville	Milan
période	8/07/19 → 13/07/19

Accès au document

10.1109/CLOUD.2019.00074

Contient cette citation

Brabra, H., Mtibaa, A., Gaaloul, W., Benatallah, B., & Gargouri, F. (2019). Model-driven orchestration for cloud resources. Dans E. Bertino, C. K. Chang, P. Chen, E. Damiani, M. Goul, & K. Oyama (eds.), Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services (p. 422-429). Article 8814534 (IEEE International Conference on Cloud Computing, CLOUD; Vol 2019-July). IEEE Computer Society. https://doi.org/10.1109/CLOUD.2019.00074

Brabra, Hayet ; Mtibaa, Achraf ; Gaaloul, Walid et al. / Model-driven orchestration for cloud resources. Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. Editeur / Elisa Bertino ; Carl K. Chang ; Peter Chen ; Ernesto Damiani ; Michael Goul ; Katsunori Oyama. IEEE Computer Society, 2019. p. 422-429 (IEEE International Conference on Cloud Computing, CLOUD).

@inproceedings{622024f67c124edd94b9c159bc4abc72,

title = "Model-driven orchestration for cloud resources",

abstract = "Several DevOps tools have emerged to orchestrate cloud resources. However, inherent heterogeneity and complex implementation within these tools make it hard for DevOps users to design required resource-related artifacts. Currently, the defacto standard for cloud resource modeling and orchestration is TOSCA. Nonetheless, TOSCA is usually bound to TOSCA-compliant orchestration tools. Moreover, the actual integration between TOSCA and DevOps tools is still performed using costly coding and in ad-hoc manner. To resolve this, we believe that mapping and translation mechanisms between TOSCA and DevOps tools should be provided. In this paper, we propose a new model-driven approach for cloud resource orchestration. Our approach (i) adopts TOSCA to design resource-related artifacts regardless of a specific DevOps tool; (ii) enables a new model-driven translation technique that serves to translate the designed artifacts using TOSCA into DevOps specific artifacts and (iii) provides Connectors that intend to establish the bridge between DevOps-specific artifacts and the DevOps tools. Our approach provides a powerful enhancement to DevOps productivity and reusability by assisting toward a seamless integration between TOSCA and DevOps tools.",

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author = "Hayet Brabra and Achraf Mtibaa and Walid Gaaloul and Boualem Benatallah and Faiez Gargouri",

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year = "2019",

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Brabra, H, Mtibaa, A, Gaaloul, W, Benatallah, B & Gargouri, F 2019, Model-driven orchestration for cloud resources. Dans E Bertino, CK Chang, P Chen, E Damiani, M Goul & K Oyama (eds), Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services., 8814534, IEEE International Conference on Cloud Computing, CLOUD, VOL. 2019-July, IEEE Computer Society, p. 422-429, 12th IEEE International Conference on Cloud Computing, CLOUD 2019, Milan, Italie, 8/07/19. https://doi.org/10.1109/CLOUD.2019.00074

Model-driven orchestration for cloud resources. / Brabra, Hayet; Mtibaa, Achraf; Gaaloul, Walid et al.
Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. Ed. / Elisa Bertino; Carl K. Chang; Peter Chen; Ernesto Damiani; Michael Goul; Katsunori Oyama. IEEE Computer Society, 2019. p. 422-429 8814534 (IEEE International Conference on Cloud Computing, CLOUD; Vol 2019-July).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Model-driven orchestration for cloud resources

AU - Brabra, Hayet

AU - Mtibaa, Achraf

AU - Gaaloul, Walid

AU - Benatallah, Boualem

AU - Gargouri, Faiez

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Several DevOps tools have emerged to orchestrate cloud resources. However, inherent heterogeneity and complex implementation within these tools make it hard for DevOps users to design required resource-related artifacts. Currently, the defacto standard for cloud resource modeling and orchestration is TOSCA. Nonetheless, TOSCA is usually bound to TOSCA-compliant orchestration tools. Moreover, the actual integration between TOSCA and DevOps tools is still performed using costly coding and in ad-hoc manner. To resolve this, we believe that mapping and translation mechanisms between TOSCA and DevOps tools should be provided. In this paper, we propose a new model-driven approach for cloud resource orchestration. Our approach (i) adopts TOSCA to design resource-related artifacts regardless of a specific DevOps tool; (ii) enables a new model-driven translation technique that serves to translate the designed artifacts using TOSCA into DevOps specific artifacts and (iii) provides Connectors that intend to establish the bridge between DevOps-specific artifacts and the DevOps tools. Our approach provides a powerful enhancement to DevOps productivity and reusability by assisting toward a seamless integration between TOSCA and DevOps tools.

AB - Several DevOps tools have emerged to orchestrate cloud resources. However, inherent heterogeneity and complex implementation within these tools make it hard for DevOps users to design required resource-related artifacts. Currently, the defacto standard for cloud resource modeling and orchestration is TOSCA. Nonetheless, TOSCA is usually bound to TOSCA-compliant orchestration tools. Moreover, the actual integration between TOSCA and DevOps tools is still performed using costly coding and in ad-hoc manner. To resolve this, we believe that mapping and translation mechanisms between TOSCA and DevOps tools should be provided. In this paper, we propose a new model-driven approach for cloud resource orchestration. Our approach (i) adopts TOSCA to design resource-related artifacts regardless of a specific DevOps tool; (ii) enables a new model-driven translation technique that serves to translate the designed artifacts using TOSCA into DevOps specific artifacts and (iii) provides Connectors that intend to establish the bridge between DevOps-specific artifacts and the DevOps tools. Our approach provides a powerful enhancement to DevOps productivity and reusability by assisting toward a seamless integration between TOSCA and DevOps tools.

KW - Artifact

KW - MDE

KW - Orchestration

KW - TOSCA

KW - Transformation

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Brabra H, Mtibaa A, Gaaloul W, Benatallah B, Gargouri F. Model-driven orchestration for cloud resources. Dans Bertino E, Chang CK, Chen P, Damiani E, Goul M, Oyama K, rédacteurs en chef, Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. IEEE Computer Society. 2019. p. 422-429. 8814534. (IEEE International Conference on Cloud Computing, CLOUD). doi: 10.1109/CLOUD.2019.00074

Model-driven orchestration for cloud resources

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation